Nazariy
From Ukraine (GMT+3)
9 years of commercial experience
Lemon.io stats
1
projects done910
hours workedOpen
to new offersNazariy – Python, Machine learning, Data Science
Nazariy boasts a rich background in machine learning, cloud architecture, data science, and engineering, as well as extensive experience as a head of engineering, advisor/consultant, and CTO. His expertise spans Machine Learning infrastructure, AI model development, and software architecture design, benefiting industries like healthcare, fintech, marketing, and others. Additionally, Nazariy excels in music and chess, complemented by his excellent command of English.
Main technologies
Additional skills
Ready to start
ASAPDirect hire
Potentially possibleExperience Highlights
Lecturer
Teaching "Recommender Systems" course to Master's students
- Created a modern course about recommender systems.
AI/ML Architect
Socially responsible job platform
- Designed recommendation system, which doubled all of the core metrics
- Set up ML infrastructure and workflow
- Developed and integrated multiple SOTA NLP models
Head Of Engineering
AI startup in content localization domain.
- Built Proofs-of-Concept for AI functionality
- Designed and executed an implementation strategy
- Established a cloud architecture and streamlined CI/CD processes
- Built and managed a highly-effective remote development team
Principal Machine Learning Engineer
Product for media monitoring and inauthentic behaviour detection
- Designed and built ML layer of the application, including models, modules and pipelines for text processing and narrative classification
- Set up cloud-based infrastructure
- Optimised application accuracy, efficiency, and performance
Machine Learning Engineer
Chatbots are used in banking, healthcare, and retail with advanced NLP models: sentiment measurements, intent classification, entities extraction Chatbots are developed with optimal technologies depending on the client's ecosystem
- Developed complex automated data pipelines and conversation flows
- Created NLP models using TensorFlow and Pytorch
- Integrated 3rd party APIs and services
- Projected unified conversational bots across various communication channels: Slack, Microsoft Teams, Telegram, and Viber
Lead Data Scientist
ClipIt is a short-form, video-sharing app that allows gamers to create and share clips from their gaming experience
- Architected and designed Machine Learning infrastructure
- Developed recommendation engine
- Set up CI/CD pipelines in the cloud
Senior Data Scientist
Pfizer Inc is an American multinational pharmaceutical and biotechnology corporation headquartered on 42nd Street in Manhattan, New York City.
- Implemented and iteratively improved various NLP models
- Worked on topic modeling and search engine
- Worked on data optimization
- Integrated Machine Learning solutions in the back-end solution
Senior Data Scientist
Strategy for impact attribution across various marketing channels (Facebook, google analytics, etc.) The final model incorporated click-based, incrementality-based, and ML-based attribution approaches and allowed to optimize marketing spending.
- Designed software architecture
- Implemented the model with SQL and Python, and presented the results to stakeholders
Senior Software Engineer / Team Lead
Various products in gaming, education and fintech domains
- Communicated closely with business owners and rapidly prototyped solutions for business needs
- Built development teams and managed them during project delivery
- Ensured best development practices
- Participated in the migration from monolith to microservice architecture by designing a bundle of microservices
- Configurated CI/CD pipelines, which boosted development and delivery speeds
- Configurated complex pipelines for automatic code quality checks and integration/unit tests
- Analyzed and resolved cloud performance issues
- Designed uniform API and database versioning strategies